Time Series Forecasting on ETT
0.106MSEMOMENT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MOMENTStrategy=Full-data2025.11 | 0.106 | 0.249 | — | — | |
| MOMENTStrategy=Top-50%2025.11 | 0.119 | 0.286 | — | — | |
| Time-MoEStrategy=Full-data2025.11 | 0.123 | 0.0035 | — | — | |
| Time-MoEStrategy=Top-50%2025.11 | 0.124 | 0.0035 | — | — | |
| MOMENTStrategy=Bottom-50%2025.11 | 0.124 | 0.283 | — | — | |
| Time-MoEStrategy=Bottom-50%2025.11 | 0.125 | 0.0035 | — | — | |
| Time-MoEStrategy=Pre-trained2025.11 | 0.126 | 0.0035 | — | — | |
| MOMENTStrategy=Pre-trained2025.11 | 0.127 | 0.301 | — | — | |
| ShapleyDownstream Model=PatchTST2025.11 | 0.266 | 0.411 | — | — | |
| LTSV (Top strategy)Downstream Model=PAttn2025.11 | 0.28 | 0.418 | — | — | |
| LTSV (Top strategy)Downstream Model=PatchTST2025.11 | 0.288 | 0.421 | — | — | |
| ShapleyDownstream Model=PAttn2025.11 | 0.292 | 0.432 | — | — | |
| LTSV (Top strategy)Downstream Model=DLinear2025.11 | 0.301 | 0.459 | — | — | |
| InfluenceDownstream Model=PatchTST2025.11 | 0.314 | 0.459 | — | — | |
| ShapleyDownstream Model=DLinear2025.11 | 0.325 | 0.475 | — | — | |
| InfluenceDownstream Model=PAttn2025.11 | 0.326 | 0.468 | — | — | |
| RandomDownstream Model=PAttn2025.11 | 0.332 | 0.441 | — | — | |
| InfluenceDownstream Model=DLinear2025.11 | 0.355 | 0.496 | — | — | |
| RandomDownstream Model=DLinear2025.11 | 0.372 | 0.506 | — | — | |
| RandomDownstream Model=PatchTST2025.11 | 0.385 | 0.465 | — | — | |
| CleanSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.411 | 0.42 | 0 | 0 | |
| ADJMSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.411 | 0.42 | 0.2 | 0 | |
| CleanTarget Model=FreTS2026.02 | 0.411 | 0.42 | 0 | 0 | |
| ADJMTarget Model=FreTS2026.02 | 0.411 | 0.424 | 0.1 | 1.1 | |
| BOSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.414 | 0.424 | 0.7 | 0.9 | |
| BOTarget Model=FreTS2026.02 | 0.415 | 0.427 | 1 | 1.6 | |
| MI-TGAMTarget Model=SegRNN2026.02 | 0.416 | 0.434 | 10.6 | 8.4 | |
| LTSV (Bottom strategy)Downstream Model=PatchTST2025.11 | 0.421 | 0.512 | — | — | |
| PGDSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.422 | 0.426 | 2.6 | 1.4 | |
| TCASurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.423 | 0.428 | 2.9 | 2 | |
| ATSGSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.424 | 0.429 | 3.2 | 2.1 | |
| BIMSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.425 | 0.428 | 3.6 | 1.9 | |
| FGSMSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.426 | 0.428 | 3.7 | 2.1 | |
| MI-FGSMSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.426 | 0.428 | 3.7 | 2.1 | |
| MI-TGAMSurrogate Model=iTransformer, Target Model=Average2026.02 | 0.43 | 0.436 | 4.6 | 2.9 | |
| MI-TGAMTarget Model=iTransformer2026.02 | 0.431 | 0.434 | 8.1 | 5.3 | |
| LTSV (Bottom strategy)Downstream Model=PAttn2025.11 | 0.431 | 0.52 | — | — | |
| PGDTarget Model=FreTS2026.02 | 0.432 | 0.436 | 5.1 | 3.9 | |
| TCATarget Model=FreTS2026.02 | 0.436 | 0.442 | 6.2 | 5.2 | |
| ATSGTarget Model=FreTS2026.02 | 0.438 | 0.443 | 6.6 | 5.6 | |
| MI-TGAMSurrogate Model=iTransformer, Target Model=FreTS2026.02 | 0.439 | 0.438 | 6.8 | 4.3 | |
| FGSMTarget Model=FreTS2026.02 | 0.44 | 0.443 | 7.1 | 5.5 | |
| BIMTarget Model=FreTS2026.02 | 0.44 | 0.443 | 7.1 | 5.5 | |
| MI-FGSMTarget Model=FreTS2026.02 | 0.44 | 0.443 | 7.1 | 5.5 | |
| MI-TGAMTarget Model=Average2026.02 | 0.452 | 0.449 | 10.9 | 6.7 | |
| MI-TGAMTarget Model=FreTS2026.02 | 0.454 | 0.454 | 10.5 | 8.2 | |
| LTSV (Bottom strategy)Downstream Model=DLinear2025.11 | 0.486 | 0.579 | — | — | |
| MI-TGAMTarget Model=TimesNet2026.02 | 0.508 | 0.475 | 13.8 | 5.1 | |
| Time-LLMStrategy=Full-data2025.11 | 0.703 | 0.601 | — | — | |
| Time-LLMStrategy=Top-50%2025.11 | 0.724 | 0.605 | — | — | |
| Time-LLMStrategy=Bottom-50%2025.11 | 0.745 | 0.651 | — | — | |
| Time-LLMStrategy=Pre-trained2025.11 | 0.831 | 0.698 | — | — |